Python for AI and Machine Learning Certification
Master Python for AI & ML in 10 weeks. Learn data handling, ML algorithms, deep learning, and real projects to ...
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Instructor
Cognovera
Category
- Description
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The Python for AI & Machine Learning Certification is a 10-week, hands-on program that equips learners with the skills to design, build, and deploy AI and machine learning models using Python. Starting with Python programming fundamentals, the course advances into data preprocessing, statistical analysis, supervised and unsupervised learning, and deep learning with TensorFlow and Keras. Through real-world datasets, mini projects, and a capstone project, participants will develop practical expertise that’s in high demand across industries.
Week 1: Python Fundamentals for AI & ML
Week 2: Data Handling with Python
Week 3: Data Cleaning & Preprocessing
Week 4: Data Visualization for AI/ML
Week 5: Statistics & Probability for AI/ML
Week 6: Introduction to Machine Learning
Week 7: Supervised Learning in Depth
Week 8: Unsupervised Learning & Dimensionality Reduction
Week 9: Deep Learning Foundations for AI
1. Do I need prior programming knowledge?
No, the course covers Python fundamentals before moving into AI and ML concepts.
2. Will I get hands-on experience?
Yes, every week has coding labs, mini projects, and a capstone project in Week 10.
3. Which industries can I work in after completing this course?
You can apply AI/ML skills in IT, finance, healthcare, e-commerce, manufacturing, and more.
4. What kind of projects will I work on?
Projects include predictive analytics, classification models, clustering, image recognition, and NLP tasks.
5. Will I receive a certification?
Yes, you’ll receive the Python for AI & Machine Learning Certification after successfully completing the course.
Skills You Will Learn
- Python programming for AI/ML
- Data cleaning, preprocessing, and manipulation
- Data visualization and exploratory data analysis (EDA)
- Statistical analysis & hypothesis testing
- Supervised learning algorithms (Regression, Decision Trees, Random Forest, k-NN)
- Unsupervised learning algorithms (Clustering, PCA, Association Rules)
- Deep learning with TensorFlow & Keras
- Model evaluation, optimization, and deployment basics
- Time series analysis and NLP fundamentals
- Real-world project execution and presentation skills
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Course details
Lectures
50
Level
Intermediate
Basic info
- Course Name: Python for AI & Machine Learning Certification
- Duration: 10 Weeks (5 Days/Week)
- Mode: Online / Classroom / Hybrid
- Level: Beginner to Intermediate
- Assessment: Weekly Projects, Quizzes, Capstone Project
- Certification: Python for AI & Machine Learning Certification
- Tools & Libraries Covered: Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, Plotly
Course requirements
- Basic computer literacy and internet access
- Logical and analytical thinking skills
- Mathematics knowledge at high school level (algebra, probability, basic statistics)
- No prior coding experience required (Python basics will be taught)
Intended audience
- Students and graduates aspiring for AI or ML careers
- Working professionals upskilling for data and AI roles
- IT professionals transitioning into AI/ML development
- Analysts and researchers looking to automate insights with AI
- Enthusiasts interested in practical AI & ML applications
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